The PhD in Statistics prepares students professional leadership in statistical research, teaching and collaboration as faculty at colleges and universities and as researchers at government institutions or in the private sector. The PhD in Statistics degree requires at least 96 credit hours of study comprised of 64 hours of course work and 32 traditional MS degree requirements be met.
Prerequisite
- MATH 447 Real Variables (*Waived if a course at an equivalent level has been taken at another institution and a grade of B or above is achieved)
Program Degree Requirements:
| Requirement | Description |
|---|---|
| MS Equivalent Core | 16 Credit Hours |
| Theory Core Courses | 12 Credit Hours |
| Practicum Course | 4 Credit Hours |
| Computational Theory and Methods Course | 4 Credit Hours |
| Stochastic Processes and Time Series Course | 4 Credit Hours |
| Elective Courses (At least 2 at the 500 Level) | 12 Credit Hours |
| Thesis and Individual Study Courses | 0-32 Credit Hours |
Other Requirements
| Requirement | Description |
|---|---|
| Master's Degree requirements met | 32 Credit Hours |
| Qualifying Exam Required | After first year of study |
| Preliminary Exam | After second year of study |
| Final Exam/Dissertation Defense | Last year of study |
| Dissertation Deposit | Last year of study |
| Teaching Requirement | Classroom responsibilities |
| Minimum GPA: | 2.75 |